The roadmap isn't the hard part. The organization is.
An AI transformation is a change program, not a technology purchase. We assess honestly, plan realistically, and stay hands-on with your teams until the change holds. This is our primary practice, and the reason most clients come to us.
Two or more of these, and this conversation is worth having.
- Your AI pilots impress in demos but never reach production.
- The board has committed to "AI" and nobody has defined the problem it's solving.
- Your roadmap came from a vendor whose incentive is licenses, not outcomes.
- Data ownership across your teams is unclear enough that every initiative stalls on it.
- You know your org chart better than you know your team's actual AI-relevant skills.
Ideas survive. Organizations don't let them.
CXOs don't come to us because they lack ideas about AI. They come to us because the last initiative had ideas and none of them survived the organization. A strong model means nothing if the team that owns the data doesn't trust the team building the product. A roadmap means nothing if it assumes skills your organization doesn't have and has no plan to get.
Most AI transformation consulting treats this as an implementation detail, to be solved after the strategy is signed off. We treat it as the actual strategy question.
Every engagement starts with our named readiness assessment.
It examines four things, plainly. You get a written readout you can act on — including the parts that are uncomfortable for whoever commissioned it. No maturity scores. No inflated scorecards.
Data reality
What you actually have, who owns it, and whether it can support what you're planning.
Systems
Legacy constraints and technical debt that will shape — or block — the roadmap.
Skills
What your team can actually do today, not what their job titles say.
Decision structure
Where in your organization AI decisions will get made, delayed, or quietly killed.
A clear picture before any plan.
Diagnostic
The Ground-Truth Diagnostic, above. A clear picture before any plan.
Roadmap
Sequenced by where AI changes your unit economics or competitive position first — not by what's easiest to demo. Every step names owners, dependencies, and the org changes required before code gets written.
Org readiness
The part everyone skips. We identify where your current structure will resist the roadmap and build the readiness plan alongside the technical one — because doing them separately is how most transformations quietly die.
Execution partnership
We work inside the build — with your engineers, product leads and data team — through the first real release. Accountable for the same outcome you are, on the same timeline.
We say so early — it's cheaper for both of us.
If you need a strategy document and nothing more, or a large bench to staff a program office, a bigger firm will serve you better.
From board agenda to a governed, planned capability.
An Indian non-bank lender needed an AI strategy its board could govern and its teams could actually use. We ran the executive workshops, wrote the AI governance policy, built the execution plan — and proved it on their real work: compliance gap analysis, collections analytics, and board reporting produced by AI, from their own data, in their own brand.
AI moved from a board agenda item to a governed, planned capability — with the leadership trained, the policy signed, and the first working use cases already proven on the company's own material. [PLACEHOLDER — cohort size, use cases in plan, time-to-first-demo]
Answers, plainly.
What does an AI transformation engagement with Yantrasight include?
A readiness assessment (our Ground-Truth Diagnostic), a sequenced roadmap tied to business outcomes, an organizational readiness plan, and hands-on execution alongside your teams through the first real production release.
How is this different from AI strategy consulting from a large firm?
Large firms typically deliver a strategy and leave. We're a boutique: senior people do the work, and we stay through execution, accountable for the same outcome your team is.
How long does the readiness assessment take for a midmarket company?
Typically [PLACEHOLDER: X–Y weeks], depending on how many systems and teams are involved. You get a written readout across data, systems, skills and decision structure — not a maturity score.
Do you work with companies outside India?
Yes. We work with CIOs, CTOs and CXOs at small and midmarket companies and startups in India and globally — remotely and on site, as the engagement needs.
When is Yantrasight the wrong choice for an AI transformation?
If you need a strategy document for a board pack and nothing more, or a large delivery bench to staff a program office. We'll tell you that in the first conversation.
Tell us where your AI effort stands.
We'll tell you what we see and whether we can help. No obligation.
Start a conversation